Development of Fingerprint Biometrics Verification and Vetting Management System
Joseph Kalunga, Simon Tembo · American Journal of Bioinformatics Research · 2016
This paper presents the development of fingerprint biometrics verification and vetting management system for Sensitive Organization. The idea behind this study is to improve security in sensitive institutions through integration of fingerprint biometrics into identity database. A fingerprint is a very recognized and acceptable security feature. It is traditionally used for human identification and criminal vetting of newly recruited security staff. There was need to develop Human Identity Authentication System that verify the true identity of people gaining entry into sensitive institution as an additional security layer to existing traditional techniques (National Identification Card, Driving license and passport). Traditional Techniques of human identity verification suffer from security Vulnerabilities such as masquerading identity; mobility issues (include lost, forgery and misplacement) and inaccuracy. The study was conducted using visual studio 2010 on DotNet framework 4.0 with C# object oriented programming language. The backend database used was MySQL relational database management system (RDMBS). The research produced a number of key results include the development of biometric security layer that is able to identify and verify identity of an individual using enrolled fingerprint template. Other results include the ability to capture military police security data, storage, retrieval and dissemination. The developed application performance was evaluated by enrolled ten fingerprints and captured related individual personal information. The result indicated 99.999% biometric accuracy levels attained with error allowance of 0.001% False Acceptance Rate (FAR) and 0.001% False Rejection Rate (FRR). In conclusion, the study shows that the integration of fingerprint biometric system in sensitive institution database can improve security of the organization and alleviate problem associated with traditional identity verification techniques.